Technical advances at the interface of biology and computation, such as single-cell RNA-
sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging …

Cancer cells have fundamentally altered cellular metabolism that is associated with their
tumorigenicity and malignancy. In addition to the widely studied Warburg effect, several new …

Elucidating the role of molecular stochasticity in cellular growth is central to understanding
phenotypic heterogeneity and the stability of cellular proliferation. The inherent stochasticity …

With the advent of modern biotechnology, microorganisms from diverse lineages have been
used to produce bio-based feedstocks and bioactive compounds. Many of these compounds …

A central unresolved issue in evolutionary biology is how metabolic innovations emerge.
Low-level enzymatic side activities are frequent and can potentially be recruited for new …

Genome scale models (GEMs) have enabled remarkable advances in systems biology,
acting as functional databases of metabolism, and as scaffolds for the contextualization of …

Gene dosage toxicity (GDT) is an important factor that determines optimal levels of protein
abundances, yet its molecular underpinnings remain unknown. Here, we demonstrate that …

Synthetic dosage lethality (SDL) denotes a genetic interaction between two genes whereby
the underexpression of gene A combined with the overexpression of gene B is lethal. SDLs …

The essential goal of biomedical research is to understand the underlying mechanism of
disease development. Unfortunately, achieving this goal requires expensive and time …

Genome-scale metabolic reconstructions include all known biochemical reactions occurring
in a cell. A typical application is the prediction of potential drug targets for cancer treatment …